Improved Finite Control Set Model Predictive Control for Permanent Magnet Synchronous Motor Drives

Finite control set model predictive control (FCS-MPC) has attracted much attention in the recent years due to its capability of handling system constraints and dealing with multivariables. The strategy of model predictive control mainly relies on the receding horizon paradigm and the optimization of a cost function. The traditional FCS-MPC approach selects an optimal voltage vector through the traversing method, which need to predict the system performance under for all the basic voltage vectors. Obviously, employing the traversing method in FCS-MPC results in heavy computational burden and thus restricts its practical implementations. In this paper, we consider FCS-MPC of permanent magnet synchronous motors (PMSMs). A novel FCS-MPC approach is proposed using the sector partitioning method. By directly determining the sector where the desired voltage vector locates, the proposed method apparently reduces the computations required for real time implementations. Simulations yield that the proposed approach renders satisfying control performance of PMSMs within a wide speed range.